gcp-logging-query-logs

THE RISK

Low Risk

Why gcp-logging-query-logs needs a policy

This tool queries logs without creating, modifying, or deleting data. However, it accesses potentially sensitive operational logs across all GCP projects and services accessible to the authenticated context, which could expose sensitive data (credentials, PII, internal system details).

From the tool's definition Tool name contains 'query' and description states 'Searches across all payload types (text, JSON, proto) and metadata fields' — a retrieval operation with no modification capability.

Documented attack patterns abuse exactly the kind of access gcp-logging-query-logs gives an agent:

POLICY

How to control gcp-logging-query-logs

PolicyLayer is an MCP gateway — it sits between your AI agents and Google Cloud MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for gcp-logging-query-logs:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "gcp-logging-query-logs": {}
  }
}

gcp-logging-query-logs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Google Cloud MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about gcp-logging-query-logs

What does the gcp-logging-query-logs tool do? +

Query Google Cloud Logs with custom filters. Searches across all payload types (text, JSON, proto) and metadata fields. It is categorised as a Read tool in the Google Cloud MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on gcp-logging-query-logs? +

Register the Google Cloud MCP Server MCP server in PolicyLayer and add a rule for gcp-logging-query-logs: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Google Cloud MCP Server. Nothing to install.

What risk level is gcp-logging-query-logs? +

gcp-logging-query-logs is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit gcp-logging-query-logs? +

Yes. Add a rate_limit block to the gcp-logging-query-logs rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block gcp-logging-query-logs completely? +

Set action: deny in the PolicyLayer policy for gcp-logging-query-logs. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides gcp-logging-query-logs? +

gcp-logging-query-logs is provided by the Google Cloud MCP Server MCP server (krzko/google-cloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Google Cloud MCP Server tool call.

Start from Google Cloud MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →